ArticleJournal of nursing regulation2023
Regulating During Crisis: A Qualitative Comparative Case Study of Nursing Regulatory Responses to the COVID-19 Pandemic.
Article in Journal of nursing regulation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Effects of the enhanced nurse licensure compact on interstate mobility and nursing employment.Health affairs scholar · 2026Article
- From compliance to risk: A paradigm for nursing and midwifery regulation in Ireland.Journal of nursing regulation · 2026Article
- Article
- Re-imagining approaches for mental health and substance use health workforce regulation in Canada: Making room for dynamic tensions.PLOS mental health · 2025Article
- The Crisis in the Nursing Labour Market: Canadian Policy Perspectives.Healthcare (Basel, Switzerland) · 2023Article
- Regulating in the public interest: Lessons learned during the COVID-19 pandemic.Healthcare management forum · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The COVID-19 pandemic placed intense pressure on nursing regulatory bodies to ensure an adequate healthcare workforce while maintaining public safety. Purpose: Our objectives were to analyze regulatory bodies' responses during the pandemic, examine how nursing regulators conceptualize the public interest during a public health crisis, and explore the influence of a public health crisis on the balancing of regulatory principles. We aimed to develop a clearer understanding of regulating during a crisis by identifying themes within regulatory responses. Methods: We conducted a qualitative comparative case study examining the pandemic responses of eight nursing regulators in three Canadian provinces and three U.S. states. Data were collected from semi-structured interviews with 19 representatives of nursing regulatory bodies and 206 publicly available documents and analyzed thematically. Results: Five themes were constructed from the data: (1) risk-based responses to reduce regulatory burden; (2) agility and flexibility in regulatory pandemic responses; (3) working with stakeholders for a systems-based approach; (4) valuing consistency in regulatory approaches across jurisdictions; and (5) the pandemic as a catalyst for innovation. Specifically, we identified that the meaning of "public interest" in the context of high workforce demand was a key consideration for regulators. Conclusion: Our results demonstrate the intensity of effort involved in nursing regulatory responses and the significant contribution of nursing regulation to the healthcare system's pandemic response. Our results also indicate a shift in thinking around broader public interest issues, beyond the conduct and competence of individual nurses, to include pressing societal issues. Regulators are beginning to grapple with these longer-term issues and policy tensions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.